Optimization of Feature Extraction in Indonesian Speech Recognition Using PCA and SVM Classification

Optimization of Feature Extraction in Indonesian Speech Recognition Using PCA and SVM Classification

Speech recognition is a technology application that communicates with machines by identifying the speaker's words. The main processes in speech recognition are pre-processing, feature extraction and classification. The feature extraction method is one of the most studied sections in speech reco...

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Bibliographic Details
Main Authors: Fathoni, Ali Nur, Hidayat, Risanuri, Bejo, Agus
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Electrical and Electronic Engineering not elsewhere classified
Online Access:https://repository.ugm.ac.id/282145/1/Fathoni%20et%20al%20-%202022%20-%20Optimization_of_Feature_Extraction_in_Indonesian_Speech_Recognition_Using_PCA_and_SVM_Classification.pdf

Internet

https://repository.ugm.ac.id/282145/1/Fathoni%20et%20al%20-%202022%20-%20Optimization_of_Feature_Extraction_in_Indonesian_Speech_Recognition_Using_PCA_and_SVM_Classification.pdf

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